Multiuser Voice Command Visualization for Accurate Execution
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Solution Overview
Problem
Smart devices often face confusion and errors when multiple users issue commands within the same timeframe, leading to incorrect execution due to conflicting, complementary, or unrelated commands.
Innovation Solution
A processor analyzes commands from multiple users using AI and machine learning techniques to identify command correlations, displays this information, and receives user feedback to ensure accurate execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the smart device processes multiple user commands simultaneously, then the device functionality and user service coverage are improved, but the command execution accuracy and system reliability deteriorate due to conflicting commands
Solution Approach 1:
The system performs preliminary analysis of multiple commands before execution, identifying correlations and conflicts between commands from different users. By analyzing command relationships in advance and presenting them to users for confirmation, the system prevents execution errors while maintaining the ability to handle multiple user inputs simultaneously.
2Reliability
If the smart device analyzes and displays command information to users, then the command execution accuracy is improved, but the system response time and operational efficiency deteriorate
Solution Approach 1:
The system provides feedback to users by displaying analyzed command information and seeking confirmation before execution. This feedback loop ensures users can review and correct potential errors in command interpretation, improving execution accuracy while maintaining user control over the system's actions.
3Adaptability or versatility
If the smart device receives and processes commands from multiple users, then the user service coverage is improved, but the command interpretation accuracy deteriorates due to conflicting information
Solution Approach 1:
The system segments the analysis process by evaluating each command individually and then analyzing the relationships between commands. By breaking down the complex multi-user command processing into discrete analysis steps, the system can identify correlations and conflicts more accurately while maintaining the ability to serve multiple users.
Data Source
AI summary
A processor may receive a first command and a second command from one or more users. A processor may analyze the first command and the second command. A processor may determine command information associated with the first command and the second command. A processor may display the command information to at least one of the one or more users on a display screen. A processor may receive a response from the at least one of the one or more users associated with the command information on the display screen. A processor may execute the first command and the second command based, at least in part, on the command information and the response.


